1 Aggregated and atomic scores per method

library(yaml)
library(DT)
library(stringr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(ggplot2)
theme_set(theme_light())

source(utils_script)
#source("utils/data_processing.R")
#> # A tibble: 3 × 2
#>   late_integration GlobalScore
#>   <chr>                  <dbl>
#> 1 limean                 0.551
#> 2 OnlyMet                0.535
#> 3 OnlyRna                0.524

2 Visualisations of the different metrics

2.1 Aggregated scores

2.1.1 PP

2.1.2 FS

2.1.3 LI

2.2 MAE

2.2.1 PP

2.2.2 FS

2.2.3 LI

2.3 RMSE

2.3.1 PP

2.3.2 FS

2.3.3 LI

2.4 Spearman correlation (row)

2.4.1 PP

2.4.2 FS

2.4.3 LI

2.5 Aitchison distance

2.5.1 PP

2.5.2 FS

2.5.3 LI